itkGradientDescentOptimizer.h

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/*=========================================================================
 *
 *  Copyright Insight Software Consortium
 *
 *  Licensed under the Apache License, Version 2.0 (the "License");
 *  you may not use this file except in compliance with the License.
 *  You may obtain a copy of the License at
 *
 *         http://www.apache.org/licenses/LICENSE-2.0.txt
 *
 *  Unless required by applicable law or agreed to in writing, software
 *  distributed under the License is distributed on an "AS IS" BASIS,
 *  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 *  See the License for the specific language governing permissions and
 *  limitations under the License.
 *
 *=========================================================================*/
#ifndef itkGradientDescentOptimizer_h
#define itkGradientDescentOptimizer_h

#include "itkIntTypes.h"
#include "itkSingleValuedNonLinearOptimizer.h"
#include "ITKOptimizersExport.h"
#include <string>
namespace itk
{
class ITKOptimizers_EXPORT GradientDescentOptimizer:
  public SingleValuedNonLinearOptimizer
{
public:
  typedef GradientDescentOptimizer       Self;
  typedef SingleValuedNonLinearOptimizer Superclass;
  typedef SmartPointer< Self >           Pointer;
  typedef SmartPointer< const Self >     ConstPointer;

  itkNewMacro(Self);

  itkTypeMacro(GradientDescentOptimizer, SingleValuedNonLinearOptimizer);

  typedef enum {
    MaximumNumberOfIterations,
    MetricError
    } StopConditionType;

  itkGetConstReferenceMacro(Maximize, bool);
  itkSetMacro(Maximize, bool);
  itkBooleanMacro(Maximize);
  bool GetMinimize() const
  { return !m_Maximize; }
  void SetMinimize(bool v)
  { this->SetMaximize(!v); }
  void MinimizeOn()
  { this->MaximizeOff(); }
  void MinimizeOff()
  { this->MaximizeOn(); }

  virtual void AdvanceOneStep();

  virtual void    StartOptimization(void) ITK_OVERRIDE;

  void    ResumeOptimization();

  void    StopOptimization();

  itkSetMacro(LearningRate, double);

  itkGetConstReferenceMacro(LearningRate, double);

  itkSetMacro(NumberOfIterations, SizeValueType);

  itkGetConstReferenceMacro(NumberOfIterations, SizeValueType);

  itkGetConstMacro(CurrentIteration, SizeValueType);

  itkGetConstReferenceMacro(Value, double);

  itkGetConstReferenceMacro(StopCondition, StopConditionType);
  virtual const std::string GetStopConditionDescription() const ITK_OVERRIDE;

  itkGetConstReferenceMacro(Gradient, DerivativeType);

protected:
  GradientDescentOptimizer();
  virtual ~GradientDescentOptimizer() {}
  virtual void PrintSelf(std::ostream & os, Indent indent) const ITK_OVERRIDE;

  // made protected so subclass can access
  DerivativeType m_Gradient;

  bool m_Maximize;

  double m_LearningRate;

private:
  GradientDescentOptimizer(const Self &); //purposely not implemented
  void operator=(const Self &);           //purposely not implemented

  bool               m_Stop;
  double             m_Value;
  StopConditionType  m_StopCondition;
  SizeValueType      m_NumberOfIterations;
  SizeValueType      m_CurrentIteration;
  std::ostringstream m_StopConditionDescription;
};
} // end namespace itk

#endif